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Purpose Of Review: In this review, we discuss the importance of digital health equity and how social determinants of health (and intersectionality with race, ethnicity, and gender) affect cardiovascular health-related outcomes in digital health trials. We propose strategies to improve digital health equity as we move to a digitally-connected world for healthcare applications and beyond.
Recent Findings: Digital health has immense promise to improve population health by reaching individuals in their homes, at their preferred times. However, initial data demonstrate decreased patient engagement and worse cardiovascular outcomes for racial and ethnic minorities, leading to unequal uptake of digital health technologies. In addition, while women generally have higher uptake of technology, they are less likely to be referred by clinicians for digital health interventions. We highlight several exemplar trials and analyze their methodology for replication in future digital health research. The promise of digital health equity has not been reached due to exclusionary practices. Specific focus must be placed on societal/governmental policies that enable digital inclusion, particularly of racial and ethnic minority populations and women, to ensure that the expansion of digital health technologies does not exacerbate existing health disparities.
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http://dx.doi.org/10.1007/s11883-024-01249-9 | DOI Listing |
BMC Med Inform Decis Mak
September 2025
Emergency Department, Helios Spital, Überlingen, Germany.
Background: The increasing amount of data routinely collected on ICUs poses a challenge for clinicians which is aggravated with data-heavy therapies like Continuous Kidney Replacement Therapy (CKRT). We developed the CKRT Supporting Software Prototype (CKRT-SSP), a clinical decision support system for use before, during and after CKRT. The aim of this user experience (UX) study was to prospectively evaluate CKRT-SSP in terms of usability, user experience, and workload in a simulated ICU setting.
View Article and Find Full Text PDFBMC Rheumatol
September 2025
Department of Environment and Biosciences, School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
J Orthop Res
September 2025
Interdisciplinary Orthopedics, Department of Orthopedics Surgery, Aalborg University Hospital, Aalborg, Denmark.
Functional recovery after total knee arthroplasty (TKA) varies widely among individuals, and traditional assessments often fail to detect subtle changes in real-world walking ability. Wearable sensors offer continuous and objective tracking of gait outside of clinical settings. In this prospective, longitudinal study, thirty-one patients undergoing unilateral TKA wore thigh-mounted accelerometers continuously from 2 weeks before surgery through 90 days postoperatively.
View Article and Find Full Text PDFNeurol Sci
September 2025
Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
The rapid evolution of digital tools in recent years after COVID-19 pandemic has transformed diagnostic and therapeutic practice in neurology. This shift has highlighted the urgent need to integrate digital competencies into the training of future specialists. Key innovations such as telemedicine, artificial intelligence, and wearable health technologies have become central to improving healthcare delivery and accessibility.
View Article and Find Full Text PDFJ Imaging Inform Med
September 2025
Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Large language models (LLMs) have been successfully used for data extraction from free-text radiology reports. Most current studies were conducted with LLMs accessed via an application programming interface (API). We evaluated the feasibility of using open-source LLMs, deployed on limited local hardware resources for data extraction from free-text mammography reports, using a common data element (CDE)-based structure.
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